Series A SaaS founder
Cut 80% of the cloud bill
Move the most expensive service first; 60–80% saved per service, paid back from month one.
Turn any server (bare metal, an unmanaged VPS, or hardware in your own rack, anywhere in the world) into managed, cloud-like infrastructure you fully own.
For the workloads most teams actually run (steady traffic, batch jobs, predictable load), the cloud now costs several times what the same capacity costs on bare metal. The only thing keeping you there is the platform team you don't have time to build.
So we built it: cloud-grade infrastructure on hardware you own. You get the cloud's conveniences, on-demand machines, a flat network, managed services, on metal, VPS, or colo you can see inside and control.
Old way: renting infrastructure you can't see inside; your data and control plane live on someone else's servers.
Durantic way: run your whole platform on machines you own: zero-touch provisioning, immutable images, data that never leaves your perimeters.
Old way: hyperscaler bills run several times the cost of bare metal for predictable, steady workloads.
Durantic way: move workloads onto cheap metal or VPS and run them as one platform at a fraction of the cost, with no re-architecture and no lock-in.
Old way: servers across clouds, datacenters, and offices can't talk without manual VPNs and tunnels.
Durantic way: one encrypted mesh wires your whole fleet together across providers, through NAT and firewalls, with self-healing best-path routing.
Old way: bare metal has no Terraform story. Config drift and snowflake servers everywhere.
Durantic way: declare machines, roles, mesh networks, and clusters as code with our Terraform provider, the same workflow you use for cloud.
Old way: managed K8s is trivial on a hyperscaler and painful on metal: no nodes, no flat network, no load balancer.
Durantic way: spin up a Kubernetes cluster from one spec: nodes, a pod network, and a load balancer, all supplied by the platform.
Old way: running AI needs GPU-aware orchestration and fleet visibility, and your data leaves your hardware.
Durantic way: provision GPU clusters for training and inference on hardware you own, with live fleet telemetry across every machine.
Boot a box from our ISO or over the network, or just install the agent on a server already running Linux. It reboots into a small in-memory environment, writes your chosen OS image straight to disk, and configures the machine for its job. Every server is a versioned image you can rebuild or roll back identically, on any provider.
Every machine joins a single encrypted mesh across clouds, datacenters, and offices, with no VPN to configure. It connects straight through NAT and firewalls, and automatically routes over the best path, rerouting within seconds when a link slows down.
Define machines, roles, networks, and clusters from the web dashboard, Terraform, or the REST API, or let an AI agent run the platform. Open a terminal to any machine right from the browser.
resource "durantic_mesh_network" "prod" { name = "prod" cidr = "10.42.0.0/16" default = true } resource "durantic_machine_role" "pg" { name = "postgres-primary" mesh_network = durantic_mesh_network.prod.id image_uuid = durantic_image.postgres.uuid cloud_init = file("roles/pg.yaml") } resource "durantic_vip" "db" { address = "10.42.0.10" health_check = "tcp:5432" }
Your apps and servers stay yours. The operational layer (provisioning, mesh, routing, telemetry) are ours, the same on every site. We're control-plane only: if we vanished tomorrow, your servers keep running.
Once a machine is online, it behaves like a cloud instance: a live console, real-time health, on-demand rebuilds, and an API for everything.
No lift-and-shift. Go greenfield, peel off one expensive service, or keep Durantic as a DR replica.
Spin up rented bare metal and run it like a cloud account from day one.
A mesh plus BGP peering put Durantic and your cloud VPC on one network, so you migrate one service at a time.
Mirror critical services onto metal in another country or provider, outside your cloud's blast radius.
Move the most expensive service first; 60–80% saved per service, paid back from month one.
Stand up clusters in EU colos for just the data that must stay there, with the same dashboards everywhere.
One person can run the whole fleet: zero-touch provisioning, a self-configuring mesh, and Kubernetes from a single spec. No Ansible, no per-box setup, no hand-wired networking.
Ship Durantic-bundled appliances to customer DCs with the same ops as your cloud SaaS, upgrades when you allow.
One mesh wires every site together; local survives a WAN outage and syncs when it returns.
Provision GPU clusters for training and inference; models and data stay on hardware you own.
Create an account, bootstrap a box (a rented server, a cloud VM, or hardware in your own rack), and provision it from the dashboard. No credit card, no sales call. Personal use is free forever.